Computer Vision Engineer
Summary
Designs and deploys computer-vision models (object detection, segmentation) using PyTorch/TensorFlow and OpenCV, optimizing for edge/cloud deployment and managing data pipelines.
Jobs for Humanity is partnering with kanz to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
Company Name
kanz
Job Purpose
The primary purpose of this role is to design, develop, and deploy robust computer vision algorithms and deep learning models that solve real-world problems. You will be responsible for the entire lifecycle of model development—from prototyping and training to optimization and deployment on edge devices or cloud platforms—ensuring high performance, accuracy, and reliability in production environments.
Job Duties and Responsibilities
- Design, develop, and deploy computer vision algorithms and models for real-world applications such as object detection, image segmentation, or video analysis.
- Demonstrate proficiency in Python and deep learning frameworks including PyTorch or TensorFlow.
- Apply experience with image processing libraries such as OpenCV for visual data manipulation.
- Optimize computer vision models for deployment on edge devices or cloud platforms.
- Manage data pipelines and conduct model evaluation to ensure robust performance in production environments.
Required Qualifications
- Computer Vision
- Python
- PyTorch
- TensorFlow
- OpenCV
- Model Optimization
- Edge Deployment
- Cloud Deployment
- Data Pipeline Management
- Model Evaluation